Product documentation

Product documentation that keeps up with the product

Feature overviews, onboarding flows, changelogs, and release notes, drafted from your repository and your issue tracker so the documentation moves when the product does.

The world's best product teams trust Documentation.AI

From next-gen start-ups to established enterprises.

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Every release widens the gap

Documentation gets written once and the product changes weekly. The arithmetic only runs one way.

Feature guides written at launch, never after
The page describes the version that shipped rather than the version running, and nothing flags the difference.
Onboarding that teaches the old flow
A new user follows the quickstart into a screen that no longer exists and concludes the product is broken.
Changelogs assembled by hand
Somebody reads the merge log on release day and writes down whatever they can reconstruct from it.
Nobody notices until support does
Documentation has no owner between releases, so drift is found by customers and reported as a bug in the product.

Documentation that moves when the product moves

Connect the repository and the issue tracker, and let merges and schedules trigger the updates instead of a reminder in somebody’s calendar.

  • Feature overviews, onboarding flows, changelogs, and release notes in a single project
  • The Update component renders changelog entries as a labelled, tagged timeline
  • Changelog generation builds entries from recent repository activity and documentation context
  • Documentation update from code proposes edits wherever code changes affect product behaviour
  • Versions and products are navigation dimensions, each able to carry its own what is new page
  • Branch, preview, and merge on launch day, so the docs go live with the feature

Every workflow run returns a summary, a downloadable report, and a commit. Nothing reaches the live site without a person approving it.

Triggered by shipping, not by memory

The gap between product and documentation closes when the product itself is what starts the work.

Runs when a pull request merges

Workflows trigger on merges in your trigger repository, or daily, weekly, or monthly. Additional context repositories give the agent more source material to work from.

Context from the tools you plan in

Jira and Confluence connect as live context sources. The agent queries Jira with JQL at runtime, so release notes reflect what the team actually shipped in the sprint.

Evidence for what to write next

Analytics ranks pages by engagement, separates human traffic from AI agent traffic, and reports feedback and low-confidence assistant answers on every page.

Documentation on the release cadence

Automation on the drafting, a human on the decision.

On merge

Documentation workflows trigger the moment a pull request merges.

Jira + GitHub

Live context sources queried at runtime, not imported snapshots.

Human approval

Every run produces a commit that somebody reviews before it ships.

Under 5 min

From signup to a live documentation site, with no credit card required.

Videograph.ai

Documentation.AI has made it much easier for our product team to maintain documentation as our platform evolves. The AI Workflows, especially with Git repository context, help us keep our product and API docs closer to the actual product without adding extra manual effort.

Anil SinghCTO, Videograph

Frequently asked questions

What teams ask when documentation has to keep pace with a roadmap.

Does the agent write release notes automatically?

The changelog generation workflow drafts entries from repository activity and documentation context. The draft arrives as a commit for review rather than as a published page.

Can we document several products in one place?

Yes. Products, versions, and languages are navigation dimensions, and each value can carry its own overview page.

What if our documentation is not in Git?

You can start in the web editor with no repository at all. A connected GitHub or GitLab project is only required for repository-triggered workflows.

How do we publish docs at the moment we ship?

Work on a branch with its own preview URL, review it there, and merge on launch day. Documentation.AI runs the production build and publishes.

Ready to build documentation people and AI agents love?

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